2022-07-11
Interactions
Included below are the models with adi standardized and education
updated to be the average of both (more details in that section). Note
that each plot is associated with the table below it.
A few things I’ll quickly note about the plots:
A 1 indicates preterm, while a 0
indicates term
The vertical distance between the lines at zero on the x-axis is
the baseline difference in thickness between term and preterm
The slopes of the line demonstrate the effect of SES. If the line
is flat, for example, SES metric has little explantory power. A good
example of this is ADI in the inferior frontal gyrus. For term children,
this line is flat
Following off of (3), differences in slope are associated with
differences in the interaction term. Interesting cases are those
instances in which the lines cross, or in which one line is flat and the
other is not
Finally, in addition to each line I have included a second plot
that shows the distribution of participants superimposed on the plot.
From this, we see
- The absolute difference between the lines is often small, relative
to the observed variability of subjects. This is particularly true with
smaller effect sizes
- There tend to be clusters of values on the x-axis. For example,
income-to-needs tends to be mostly below 3, ADI is largely between -1
and 1 (as we would expect). Education is a bit trickier to see, so I
included a table of paired values
Summaries
These models are for the analysis for hypothesis 1 and 2. That is,
linear mixed effects models with ROI thickness as dependent, and age,
sex, race/ethnicity, SES, term/pretern, and interaction as independent.
Random intercepts for site and laterality.
Each tab is one of the SES metrics, containing model summaries for
all brain regions
ADI
Plot of standardized ADI by preterm status

destrieux_g.front.inf.opercular
| (Intercept) |
3.1339 |
0.0284 |
3.0783 |
3.1895 |
0.0000 |
| race_ethnicityBlack |
0.0641 |
0.0134 |
0.0378 |
0.0904 |
0.0000 |
| race_ethnicityHispanic |
0.0199 |
0.0134 |
-0.0063 |
0.0461 |
0.1364 |
| race_ethnicityOther |
0.0311 |
0.0133 |
0.0049 |
0.0572 |
0.0198 |
| race_ethnicityWhite |
0.0304 |
0.0129 |
0.0051 |
0.0558 |
0.0188 |
| femaleyes |
0.0215 |
0.0026 |
0.0165 |
0.0265 |
0.0000 |
| premature |
-0.0002 |
0.0035 |
-0.0069 |
0.0066 |
0.9630 |
| adi |
-0.0036 |
0.0017 |
-0.0070 |
-0.0002 |
0.0355 |
| age |
-0.0006 |
0.0002 |
-0.0010 |
-0.0003 |
0.0002 |
| premature:adi |
0.0106 |
0.0034 |
0.0039 |
0.0173 |
0.0020 |

destrieux_g.front.inf.orbital
| (Intercept) |
3.2870 |
0.0425 |
3.2036 |
3.3703 |
0.0000 |
| race_ethnicityBlack |
0.0376 |
0.0197 |
-0.0009 |
0.0762 |
0.0556 |
| race_ethnicityHispanic |
0.0347 |
0.0196 |
-0.0036 |
0.0731 |
0.0760 |
| race_ethnicityOther |
0.0481 |
0.0195 |
0.0099 |
0.0863 |
0.0137 |
| race_ethnicityWhite |
0.0625 |
0.0189 |
0.0254 |
0.0996 |
0.0010 |
| femaleyes |
0.0276 |
0.0038 |
0.0203 |
0.0350 |
0.0000 |
| premature |
-0.0156 |
0.0051 |
-0.0255 |
-0.0056 |
0.0021 |
| adi |
-0.0094 |
0.0025 |
-0.0142 |
-0.0045 |
0.0002 |
| age |
-0.0013 |
0.0003 |
-0.0018 |
-0.0008 |
0.0000 |
| premature:adi |
0.0069 |
0.0050 |
-0.0029 |
0.0167 |
0.1675 |

destrieux_g.front.inf.triangul
| (Intercept) |
3.1254 |
0.0369 |
3.0532 |
3.1977 |
0.0000 |
| race_ethnicityBlack |
0.0335 |
0.0157 |
0.0027 |
0.0644 |
0.0330 |
| race_ethnicityHispanic |
0.0170 |
0.0157 |
-0.0137 |
0.0477 |
0.2782 |
| race_ethnicityOther |
0.0272 |
0.0156 |
-0.0034 |
0.0579 |
0.0810 |
| race_ethnicityWhite |
0.0338 |
0.0152 |
0.0041 |
0.0635 |
0.0258 |
| femaleyes |
0.0318 |
0.0030 |
0.0260 |
0.0377 |
0.0000 |
| premature |
-0.0090 |
0.0041 |
-0.0169 |
-0.0010 |
0.0271 |
| adi |
-0.0009 |
0.0020 |
-0.0049 |
0.0030 |
0.6418 |
| age |
-0.0012 |
0.0002 |
-0.0016 |
-0.0008 |
0.0000 |
| premature:adi |
0.0106 |
0.0040 |
0.0027 |
0.0184 |
0.0084 |

destrieux_g.front.middle
| (Intercept) |
3.0509 |
0.0366 |
2.9792 |
3.1226 |
0.0000 |
| race_ethnicityBlack |
0.0423 |
0.0135 |
0.0158 |
0.0688 |
0.0018 |
| race_ethnicityHispanic |
0.0194 |
0.0135 |
-0.0070 |
0.0458 |
0.1505 |
| race_ethnicityOther |
0.0315 |
0.0134 |
0.0052 |
0.0579 |
0.0189 |
| race_ethnicityWhite |
0.0345 |
0.0130 |
0.0089 |
0.0600 |
0.0083 |
| femaleyes |
0.0311 |
0.0026 |
0.0261 |
0.0362 |
0.0000 |
| premature |
-0.0132 |
0.0035 |
-0.0200 |
-0.0064 |
0.0002 |
| adi |
-0.0013 |
0.0017 |
-0.0047 |
0.0021 |
0.4505 |
| age |
-0.0010 |
0.0002 |
-0.0014 |
-0.0007 |
0.0000 |
| premature:adi |
0.0108 |
0.0034 |
0.0040 |
0.0175 |
0.0018 |

destrieux_g.pariet.inf.supramar
| (Intercept) |
3.0432 |
0.0454 |
2.9543 |
3.1322 |
0.0000 |
| race_ethnicityBlack |
0.0248 |
0.0140 |
-0.0026 |
0.0522 |
0.0762 |
| race_ethnicityHispanic |
0.0438 |
0.0139 |
0.0165 |
0.0710 |
0.0017 |
| race_ethnicityOther |
0.0392 |
0.0139 |
0.0120 |
0.0664 |
0.0047 |
| race_ethnicityWhite |
0.0587 |
0.0135 |
0.0323 |
0.0851 |
0.0000 |
| femaleyes |
0.0305 |
0.0027 |
0.0253 |
0.0357 |
0.0000 |
| premature |
-0.0048 |
0.0036 |
-0.0118 |
0.0023 |
0.1861 |
| adi |
-0.0034 |
0.0018 |
-0.0069 |
0.0001 |
0.0555 |
| age |
-0.0008 |
0.0002 |
-0.0011 |
-0.0004 |
0.0000 |
| premature:adi |
0.0123 |
0.0036 |
0.0053 |
0.0193 |
0.0006 |

destrieux_g.temporal.middle
| (Intercept) |
3.3745 |
0.0447 |
3.2870 |
3.4620 |
0.0000 |
| race_ethnicityBlack |
0.0205 |
0.0160 |
-0.0109 |
0.0519 |
0.2004 |
| race_ethnicityHispanic |
0.0598 |
0.0160 |
0.0285 |
0.0911 |
0.0002 |
| race_ethnicityOther |
0.0626 |
0.0159 |
0.0314 |
0.0938 |
0.0001 |
| race_ethnicityWhite |
0.0901 |
0.0155 |
0.0598 |
0.1204 |
0.0000 |
| femaleyes |
0.0152 |
0.0031 |
0.0092 |
0.0212 |
0.0000 |
| premature |
-0.0129 |
0.0041 |
-0.0210 |
-0.0048 |
0.0018 |
| adi |
-0.0068 |
0.0021 |
-0.0109 |
-0.0028 |
0.0009 |
| age |
-0.0008 |
0.0002 |
-0.0012 |
-0.0004 |
0.0002 |
| premature:adi |
0.0139 |
0.0041 |
0.0059 |
0.0219 |
0.0007 |

destrieux_g.temp.sup.lateral
| (Intercept) |
3.2907 |
0.0440 |
3.2044 |
3.3769 |
0.0000 |
| race_ethnicityBlack |
0.0534 |
0.0179 |
0.0183 |
0.0885 |
0.0029 |
| race_ethnicityHispanic |
0.0391 |
0.0178 |
0.0041 |
0.0740 |
0.0285 |
| race_ethnicityOther |
0.0571 |
0.0178 |
0.0223 |
0.0919 |
0.0013 |
| race_ethnicityWhite |
0.0766 |
0.0173 |
0.0427 |
0.1104 |
0.0000 |
| femaleyes |
0.0354 |
0.0034 |
0.0287 |
0.0421 |
0.0000 |
| premature |
0.0083 |
0.0046 |
-0.0007 |
0.0173 |
0.0723 |
| adi |
-0.0093 |
0.0023 |
-0.0138 |
-0.0048 |
0.0001 |
| age |
0.0000 |
0.0002 |
-0.0005 |
0.0004 |
0.9569 |
| premature:adi |
0.0209 |
0.0046 |
0.0119 |
0.0298 |
0.0000 |

destrieux_s.temporal.transverse
| (Intercept) |
2.8189 |
0.0810 |
2.6602 |
2.9776 |
0.0006 |
| race_ethnicityBlack |
-0.0331 |
0.0245 |
-0.0810 |
0.0149 |
0.1763 |
| race_ethnicityHispanic |
-0.0140 |
0.0244 |
-0.0617 |
0.0338 |
0.5661 |
| race_ethnicityOther |
-0.0051 |
0.0243 |
-0.0527 |
0.0426 |
0.8347 |
| race_ethnicityWhite |
0.0061 |
0.0236 |
-0.0401 |
0.0523 |
0.7961 |
| femaleyes |
0.0713 |
0.0047 |
0.0621 |
0.0805 |
0.0000 |
| premature |
-0.0048 |
0.0063 |
-0.0171 |
0.0076 |
0.4493 |
| adi |
-0.0079 |
0.0030 |
-0.0138 |
-0.0019 |
0.0096 |
| age |
-0.0012 |
0.0003 |
-0.0018 |
-0.0006 |
0.0001 |
| premature:adi |
0.0116 |
0.0063 |
-0.0007 |
0.0239 |
0.0635 |
Parent Education
For this, I translated each education level into either
- < HS
- HS
- Some college
- Bachelor
- Post graduate
where each value corresponds to the associated number in the list. I
think took the average numeric between parent and partner, so these are
treated as a numeric variable between 1 and 5 as well. A table of
pairings and distribution of values is here (extra large to fit
labels):
| < HS Diploma |
225 |
315 |
322 |
242 |
750 |
| Bachelor |
1 |
991 |
32 |
708 |
330 |
| HS Diploma/GED |
57 |
159 |
223 |
105 |
386 |
| Post Graduate Degree |
3 |
640 |
16 |
967 |
167 |
| Some College |
26 |
472 |
129 |
294 |
797 |

Alternatively, we could add the numbers together, giving us a range
of 2-10, which we could treat as ordered categorical variables.
Something to think on

destrieux_g.front.inf.opercular
| (Intercept) |
3.1215 |
0.0290 |
3.0647 |
3.1783 |
0.0000 |
| race_ethnicityBlack |
0.0652 |
0.0135 |
0.0387 |
0.0918 |
0.0000 |
| race_ethnicityHispanic |
0.0204 |
0.0134 |
-0.0059 |
0.0467 |
0.1280 |
| race_ethnicityOther |
0.0311 |
0.0133 |
0.0049 |
0.0572 |
0.0199 |
| race_ethnicityWhite |
0.0301 |
0.0129 |
0.0047 |
0.0555 |
0.0201 |
| femaleyes |
0.0217 |
0.0026 |
0.0166 |
0.0267 |
0.0000 |
| premature |
0.0188 |
0.0110 |
-0.0028 |
0.0405 |
0.0883 |
| ed_avg_numeric |
0.0031 |
0.0014 |
0.0002 |
0.0059 |
0.0344 |
| age |
-0.0006 |
0.0002 |
-0.0010 |
-0.0003 |
0.0003 |
| premature:ed_avg_numeric |
-0.0055 |
0.0031 |
-0.0116 |
0.0006 |
0.0750 |

destrieux_g.front.inf.orbital
| (Intercept) |
3.2640 |
0.0434 |
3.1789 |
3.3490 |
0.0000 |
| race_ethnicityBlack |
0.0388 |
0.0198 |
0.0000 |
0.0776 |
0.0498 |
| race_ethnicityHispanic |
0.0354 |
0.0196 |
-0.0031 |
0.0739 |
0.0718 |
| race_ethnicityOther |
0.0481 |
0.0195 |
0.0098 |
0.0863 |
0.0139 |
| race_ethnicityWhite |
0.0624 |
0.0189 |
0.0252 |
0.0995 |
0.0010 |
| femaleyes |
0.0277 |
0.0038 |
0.0204 |
0.0351 |
0.0000 |
| premature |
0.0006 |
0.0162 |
-0.0311 |
0.0323 |
0.9718 |
| ed_avg_numeric |
0.0060 |
0.0021 |
0.0018 |
0.0101 |
0.0049 |
| age |
-0.0013 |
0.0003 |
-0.0018 |
-0.0008 |
0.0000 |
| premature:ed_avg_numeric |
-0.0047 |
0.0046 |
-0.0137 |
0.0042 |
0.3004 |

destrieux_g.front.inf.triangul
| (Intercept) |
3.1210 |
0.0376 |
3.0474 |
3.1946 |
0.0000 |
| race_ethnicityBlack |
0.0340 |
0.0159 |
0.0029 |
0.0650 |
0.0321 |
| race_ethnicityHispanic |
0.0171 |
0.0157 |
-0.0137 |
0.0479 |
0.2769 |
| race_ethnicityOther |
0.0270 |
0.0156 |
-0.0037 |
0.0576 |
0.0845 |
| race_ethnicityWhite |
0.0331 |
0.0152 |
0.0034 |
0.0629 |
0.0290 |
| femaleyes |
0.0320 |
0.0030 |
0.0261 |
0.0378 |
0.0000 |
| premature |
-0.0002 |
0.0129 |
-0.0256 |
0.0251 |
0.9850 |
| ed_avg_numeric |
0.0010 |
0.0017 |
-0.0023 |
0.0044 |
0.5365 |
| age |
-0.0012 |
0.0002 |
-0.0016 |
-0.0008 |
0.0000 |
| premature:ed_avg_numeric |
-0.0025 |
0.0036 |
-0.0097 |
0.0046 |
0.4930 |

destrieux_g.front.middle
| (Intercept) |
3.0574 |
0.0371 |
2.9847 |
3.1301 |
0.0000 |
| race_ethnicityBlack |
0.0389 |
0.0136 |
0.0122 |
0.0656 |
0.0044 |
| race_ethnicityHispanic |
0.0167 |
0.0135 |
-0.0099 |
0.0432 |
0.2185 |
| race_ethnicityOther |
0.0296 |
0.0135 |
0.0032 |
0.0560 |
0.0277 |
| race_ethnicityWhite |
0.0330 |
0.0131 |
0.0074 |
0.0585 |
0.0116 |
| femaleyes |
0.0313 |
0.0026 |
0.0262 |
0.0364 |
0.0000 |
| premature |
-0.0126 |
0.0111 |
-0.0344 |
0.0092 |
0.2565 |
| ed_avg_numeric |
-0.0016 |
0.0015 |
-0.0044 |
0.0013 |
0.2817 |
| age |
-0.0010 |
0.0002 |
-0.0014 |
-0.0007 |
0.0000 |
| premature:ed_avg_numeric |
-0.0002 |
0.0031 |
-0.0063 |
0.0060 |
0.9601 |

destrieux_g.pariet.inf.supramar
| (Intercept) |
3.0306 |
0.0458 |
2.9408 |
3.1203 |
0.0000 |
| race_ethnicityBlack |
0.0268 |
0.0141 |
-0.0008 |
0.0544 |
0.0575 |
| race_ethnicityHispanic |
0.0450 |
0.0140 |
0.0177 |
0.0724 |
0.0013 |
| race_ethnicityOther |
0.0395 |
0.0139 |
0.0123 |
0.0667 |
0.0045 |
| race_ethnicityWhite |
0.0582 |
0.0135 |
0.0318 |
0.0846 |
0.0000 |
| femaleyes |
0.0306 |
0.0027 |
0.0254 |
0.0358 |
0.0000 |
| premature |
0.0017 |
0.0115 |
-0.0209 |
0.0242 |
0.8849 |
| ed_avg_numeric |
0.0032 |
0.0015 |
0.0002 |
0.0061 |
0.0336 |
| age |
-0.0008 |
0.0002 |
-0.0011 |
-0.0004 |
0.0000 |
| premature:ed_avg_numeric |
-0.0018 |
0.0032 |
-0.0081 |
0.0046 |
0.5846 |

destrieux_g.temporal.middle
| (Intercept) |
3.3507 |
0.0451 |
3.2623 |
3.4391 |
0.0000 |
| race_ethnicityBlack |
0.0249 |
0.0161 |
-0.0068 |
0.0565 |
0.1233 |
| race_ethnicityHispanic |
0.0630 |
0.0160 |
0.0316 |
0.0944 |
0.0001 |
| race_ethnicityOther |
0.0637 |
0.0159 |
0.0325 |
0.0949 |
0.0001 |
| race_ethnicityWhite |
0.0898 |
0.0155 |
0.0595 |
0.1201 |
0.0000 |
| femaleyes |
0.0154 |
0.0031 |
0.0094 |
0.0213 |
0.0000 |
| premature |
-0.0161 |
0.0132 |
-0.0420 |
0.0097 |
0.2207 |
| ed_avg_numeric |
0.0061 |
0.0017 |
0.0028 |
0.0095 |
0.0004 |
| age |
-0.0007 |
0.0002 |
-0.0012 |
-0.0003 |
0.0003 |
| premature:ed_avg_numeric |
0.0012 |
0.0037 |
-0.0061 |
0.0084 |
0.7538 |

destrieux_g.temp.sup.lateral
| (Intercept) |
3.2483 |
0.0446 |
3.1609 |
3.3358 |
0.0000 |
| race_ethnicityBlack |
0.0614 |
0.0180 |
0.0261 |
0.0968 |
0.0007 |
| race_ethnicityHispanic |
0.0447 |
0.0179 |
0.0096 |
0.0797 |
0.0126 |
| race_ethnicityOther |
0.0595 |
0.0178 |
0.0246 |
0.0944 |
0.0008 |
| race_ethnicityWhite |
0.0768 |
0.0173 |
0.0430 |
0.1106 |
0.0000 |
| femaleyes |
0.0357 |
0.0034 |
0.0290 |
0.0424 |
0.0000 |
| premature |
0.0331 |
0.0147 |
0.0043 |
0.0620 |
0.0244 |
| ed_avg_numeric |
0.0106 |
0.0019 |
0.0068 |
0.0144 |
0.0000 |
| age |
0.0000 |
0.0002 |
-0.0004 |
0.0005 |
0.9088 |
| premature:ed_avg_numeric |
-0.0071 |
0.0042 |
-0.0152 |
0.0011 |
0.0892 |

destrieux_s.temporal.transverse
| (Intercept) |
2.8004 |
0.0817 |
2.6403 |
2.9605 |
0.0005 |
| race_ethnicityBlack |
-0.0335 |
0.0246 |
-0.0817 |
0.0147 |
0.1732 |
| race_ethnicityHispanic |
-0.0147 |
0.0244 |
-0.0626 |
0.0332 |
0.5469 |
| race_ethnicityOther |
-0.0062 |
0.0243 |
-0.0539 |
0.0414 |
0.7980 |
| race_ethnicityWhite |
0.0049 |
0.0235 |
-0.0412 |
0.0511 |
0.8346 |
| femaleyes |
0.0715 |
0.0047 |
0.0623 |
0.0807 |
0.0000 |
| premature |
0.0189 |
0.0202 |
-0.0207 |
0.0584 |
0.3496 |
| ed_avg_numeric |
0.0047 |
0.0026 |
-0.0005 |
0.0098 |
0.0749 |
| age |
-0.0012 |
0.0003 |
-0.0018 |
-0.0006 |
0.0002 |
| premature:ed_avg_numeric |
-0.0069 |
0.0057 |
-0.0181 |
0.0042 |
0.2233 |
Income to Needs
Distribution of income-to-needs by status

destrieux_g.front.inf.opercular
| (Intercept) |
3.1334 |
0.0285 |
3.0776 |
3.1893 |
0.0000 |
| race_ethnicityBlack |
0.0622 |
0.0135 |
0.0357 |
0.0886 |
0.0000 |
| race_ethnicityHispanic |
0.0183 |
0.0134 |
-0.0080 |
0.0445 |
0.1730 |
| race_ethnicityOther |
0.0297 |
0.0133 |
0.0036 |
0.0559 |
0.0259 |
| race_ethnicityWhite |
0.0292 |
0.0129 |
0.0038 |
0.0546 |
0.0241 |
| femaleyes |
0.0217 |
0.0026 |
0.0166 |
0.0267 |
0.0000 |
| premature |
-0.0003 |
0.0064 |
-0.0129 |
0.0123 |
0.9617 |
| inc2Need |
0.0003 |
0.0007 |
-0.0011 |
0.0016 |
0.7172 |
| age |
-0.0006 |
0.0002 |
-0.0010 |
-0.0003 |
0.0002 |
| premature:inc2Need |
0.0001 |
0.0015 |
-0.0028 |
0.0029 |
0.9675 |

destrieux_g.front.inf.orbital
| (Intercept) |
3.2821 |
0.0427 |
3.1984 |
3.3659 |
0.0000 |
| race_ethnicityBlack |
0.0337 |
0.0198 |
-0.0050 |
0.0725 |
0.0878 |
| race_ethnicityHispanic |
0.0315 |
0.0196 |
-0.0069 |
0.0699 |
0.1084 |
| race_ethnicityOther |
0.0461 |
0.0195 |
0.0078 |
0.0844 |
0.0184 |
| race_ethnicityWhite |
0.0614 |
0.0189 |
0.0243 |
0.0986 |
0.0012 |
| femaleyes |
0.0278 |
0.0038 |
0.0204 |
0.0351 |
0.0000 |
| premature |
-0.0072 |
0.0094 |
-0.0256 |
0.0112 |
0.4440 |
| inc2Need |
0.0014 |
0.0010 |
-0.0006 |
0.0034 |
0.1791 |
| age |
-0.0013 |
0.0003 |
-0.0018 |
-0.0008 |
0.0000 |
| premature:inc2Need |
-0.0024 |
0.0022 |
-0.0066 |
0.0018 |
0.2694 |

destrieux_g.front.inf.triangul
| (Intercept) |
3.1247 |
0.0371 |
3.0520 |
3.1973 |
0.0000 |
| race_ethnicityBlack |
0.0324 |
0.0158 |
0.0014 |
0.0634 |
0.0402 |
| race_ethnicityHispanic |
0.0160 |
0.0157 |
-0.0147 |
0.0468 |
0.3067 |
| race_ethnicityOther |
0.0264 |
0.0156 |
-0.0042 |
0.0570 |
0.0911 |
| race_ethnicityWhite |
0.0330 |
0.0152 |
0.0033 |
0.0627 |
0.0297 |
| femaleyes |
0.0320 |
0.0030 |
0.0261 |
0.0379 |
0.0000 |
| premature |
-0.0029 |
0.0075 |
-0.0176 |
0.0118 |
0.7027 |
| inc2Need |
0.0000 |
0.0008 |
-0.0016 |
0.0017 |
0.9562 |
| age |
-0.0012 |
0.0002 |
-0.0016 |
-0.0008 |
0.0000 |
| premature:inc2Need |
-0.0016 |
0.0017 |
-0.0050 |
0.0018 |
0.3534 |

destrieux_g.front.middle
| (Intercept) |
3.0546 |
0.0367 |
2.9826 |
3.1265 |
0.0000 |
| race_ethnicityBlack |
0.0379 |
0.0136 |
0.0113 |
0.0646 |
0.0053 |
| race_ethnicityHispanic |
0.0161 |
0.0135 |
-0.0103 |
0.0426 |
0.2327 |
| race_ethnicityOther |
0.0293 |
0.0134 |
0.0029 |
0.0556 |
0.0294 |
| race_ethnicityWhite |
0.0332 |
0.0131 |
0.0076 |
0.0588 |
0.0110 |
| femaleyes |
0.0313 |
0.0026 |
0.0262 |
0.0364 |
0.0000 |
| premature |
-0.0069 |
0.0065 |
-0.0195 |
0.0058 |
0.2865 |
| inc2Need |
-0.0011 |
0.0007 |
-0.0025 |
0.0003 |
0.1410 |
| age |
-0.0010 |
0.0002 |
-0.0013 |
-0.0007 |
0.0000 |
| premature:inc2Need |
-0.0017 |
0.0015 |
-0.0046 |
0.0012 |
0.2632 |

destrieux_g.pariet.inf.supramar
| (Intercept) |
3.0417 |
0.0455 |
2.9526 |
3.1308 |
0.0000 |
| race_ethnicityBlack |
0.0233 |
0.0141 |
-0.0043 |
0.0508 |
0.0976 |
| race_ethnicityHispanic |
0.0424 |
0.0139 |
0.0151 |
0.0697 |
0.0024 |
| race_ethnicityOther |
0.0381 |
0.0139 |
0.0108 |
0.0653 |
0.0061 |
| race_ethnicityWhite |
0.0575 |
0.0135 |
0.0311 |
0.0840 |
0.0000 |
| femaleyes |
0.0306 |
0.0027 |
0.0254 |
0.0359 |
0.0000 |
| premature |
-0.0024 |
0.0067 |
-0.0155 |
0.0106 |
0.7149 |
| inc2Need |
0.0004 |
0.0007 |
-0.0010 |
0.0019 |
0.5455 |
| age |
-0.0008 |
0.0002 |
-0.0011 |
-0.0004 |
0.0000 |
| premature:inc2Need |
-0.0006 |
0.0015 |
-0.0036 |
0.0024 |
0.6959 |

destrieux_g.temporal.middle
| (Intercept) |
3.3672 |
0.0447 |
3.2795 |
3.4548 |
0.0000 |
| race_ethnicityBlack |
0.0208 |
0.0161 |
-0.0107 |
0.0524 |
0.1959 |
| race_ethnicityHispanic |
0.0596 |
0.0160 |
0.0282 |
0.0909 |
0.0002 |
| race_ethnicityOther |
0.0621 |
0.0159 |
0.0309 |
0.0934 |
0.0001 |
| race_ethnicityWhite |
0.0891 |
0.0155 |
0.0588 |
0.1194 |
0.0000 |
| femaleyes |
0.0154 |
0.0031 |
0.0094 |
0.0214 |
0.0000 |
| premature |
-0.0096 |
0.0076 |
-0.0246 |
0.0054 |
0.2105 |
| inc2Need |
0.0020 |
0.0008 |
0.0004 |
0.0037 |
0.0169 |
| age |
-0.0008 |
0.0002 |
-0.0012 |
-0.0004 |
0.0003 |
| premature:inc2Need |
-0.0009 |
0.0018 |
-0.0044 |
0.0025 |
0.6013 |

destrieux_g.temp.sup.lateral
| (Intercept) |
3.2767 |
0.0441 |
3.1902 |
3.3632 |
0.0000 |
| race_ethnicityBlack |
0.0549 |
0.0180 |
0.0196 |
0.0902 |
0.0023 |
| race_ethnicityHispanic |
0.0395 |
0.0179 |
0.0045 |
0.0745 |
0.0271 |
| race_ethnicityOther |
0.0571 |
0.0178 |
0.0222 |
0.0920 |
0.0013 |
| race_ethnicityWhite |
0.0755 |
0.0173 |
0.0417 |
0.1094 |
0.0000 |
| femaleyes |
0.0357 |
0.0034 |
0.0290 |
0.0424 |
0.0000 |
| premature |
0.0232 |
0.0085 |
0.0065 |
0.0400 |
0.0065 |
| inc2Need |
0.0035 |
0.0009 |
0.0016 |
0.0053 |
0.0003 |
| age |
0.0000 |
0.0002 |
-0.0004 |
0.0005 |
0.9735 |
| premature:inc2Need |
-0.0041 |
0.0020 |
-0.0079 |
-0.0002 |
0.0379 |

destrieux_s.temporal.transverse
| (Intercept) |
2.8052 |
0.0811 |
2.6462 |
2.9643 |
0.0006 |
| race_ethnicityBlack |
-0.0328 |
0.0246 |
-0.0809 |
0.0153 |
0.1815 |
| race_ethnicityHispanic |
-0.0143 |
0.0244 |
-0.0622 |
0.0335 |
0.5564 |
| race_ethnicityOther |
-0.0054 |
0.0243 |
-0.0531 |
0.0422 |
0.8236 |
| race_ethnicityWhite |
0.0055 |
0.0235 |
-0.0406 |
0.0517 |
0.8137 |
| femaleyes |
0.0715 |
0.0047 |
0.0623 |
0.0807 |
0.0000 |
| premature |
0.0195 |
0.0117 |
-0.0035 |
0.0424 |
0.0962 |
| inc2Need |
0.0031 |
0.0013 |
0.0005 |
0.0056 |
0.0171 |
| age |
-0.0012 |
0.0003 |
-0.0018 |
-0.0006 |
0.0002 |
| premature:inc2Need |
-0.0066 |
0.0027 |
-0.0119 |
-0.0014 |
0.0136 |